Table_3_Establishment of a risk model correlated with metabolism based on RNA-binding proteins associated with cell pyroptosis in acute myeloid leukemia.xlsx

BackgroundRNA-binding protein (RBP) regulates acute myeloid leukemia (AML) by participating in mRNA editing and modification. Pyroptosis also plays an immunomodulatory function in AML. Therefore, this study aimed to identify pyroptosis-related RBP genes that could predict the prognosis of AML patients.MethodsAML related expression data were downloaded from the UCSC website and Gene Expression Omnibus (GEO) database. Pyroptosis-RPB-related differentially expressed genes (PRBP-DEGs) were conducted with a protein-protein interactions (PPI) network to screen out the key PRBP-DEGs, based on which a risk model was constructed by Cox analysis, and evaluated by plotting Receiver operating characteristic (ROC) curves and survival curves. Independent prognostic analysis was performed and a nomogram was constructed. Finally, enrichment analysis was performed for high and low risk groups.ReusltsA total of 71 PRBP-DEGs were obtained and a pyroptosis-RPB-related risk model was constructed based on IFIT5, MRPL14, MRPL21, MRPL39, MVP, and PUSL1 acquired from Cox analysis. RiskScore, age, and cytogenetics risk category were identified as independent prognostic factors, and the nomogram based on these independent prognostic factors could accurately predict 1-, 3- and 5-year survival of AML patients. Gene set enrichment analysis (GSEA) showed that the high-risk and low-risk groups were mainly enriched in metabolic- and immune-related processes and pathways.ConclusionIn this study, a risk score model correlated with metabolism based on RNA-binding proteins associated with cell pyroptosis in acute myeloid leukemia was established, which provided a theoretical basis and reference value for therapeutic studies and prognosis of AML.

背景RNA结合蛋白（RBP）通过参与mRNA编辑和修饰，调控急性髓系白血病（AML）的发展。焦亡（Pyroptosis）亦在AML中发挥着免疫调节的作用。鉴于此，本研究旨在鉴定与焦亡相关的RBP基因，以预测AML患者的预后。方法：从UCSC网站和基因表达综合数据库（GEO）下载AML相关表达数据。通过蛋白质-蛋白质相互作用（PPI）网络进行焦亡-RBP相关差异表达基因（PRBP-DEGs）筛选，以此为基础，通过Cox分析构建风险模型，并通过绘制受试者工作特征（ROC）曲线和生存曲线进行评估。进行独立预后分析，并构建预后图。最后，对高风险和低风险组进行富集分析。结果：共获得71个PRBP-DEGs，并基于Cox分析中获得的IFIT5、MRPL14、MRPL21、MRPL39、MVP和PUSL1构建了焦亡-RBP相关风险模型。风险评分、年龄和细胞遗传学风险类别被确认为独立预后因素，基于这些独立预后因素的预后图能够准确预测AML患者1年、3年和5年的生存率。基因集富集分析（GSEA）显示，高风险和低风险组主要富集于代谢和免疫相关过程及途径。结论：本研究建立了与代谢相关的风险评分模型，该模型基于与细胞焦亡相关的AML中RNA结合蛋白，为AML的治疗研究和预后研究提供了理论依据和参考价值。